Triple
T84325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Deputies |
E1696
|
entity |
| Predicate | meetsAtInterval |
P2557
|
FINISHED |
| Object | every three years |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: every three years | Statement: [House of Deputies, meetsAtInterval, every three years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsAtInterval Context triple: [House of Deputies, meetsAtInterval, every three years]
-
A.
meetsEvery
Indicates that one entity encounters or comes into contact with every member of a specified set of entities.
-
B.
meetsDuring
Indicates that one entity encounters or comes together with another while a specified event or time interval is in progress.
-
C.
meetingFrequency
chosen
Indicates how often a meeting or recurring gathering takes place over a given period.
-
D.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
-
E.
meetsAs
Indicates that two entities encounter or come together at the same place and time, typically in a planned or recognized interaction.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f4e73c081908d2da146226ef05e |
completed | Feb. 28, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69a24eb469548190b38c24e81f36c838 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.